Senior ML/Python Engineer

Please note that working within this project means availability for meetings in the PT timezone, mainly until 19:30 and usually no later than 18:00, as well as fluent English.

About project

It is a modern insurance brokerage and advisory firm that supports fast-growing companies, particularly in the technology, life sciences, and professional services sectors.

The organization combines deep risk management expertise with advanced technology and AI-powered tools to deliver more efficient, tailored insurance solutions to its clients.

Its mission is to transform the traditional insurance industry, which is often perceived as complex, slow, and not well suited to the needs of modern businesses.

Through digital workflows, automation, and a customer-centric approach, the company simplifies insurance processes, accelerates decision-making, and improves transparency across the entire client experience.

By partnering with ambitious leaders and innovative organizations, it helps businesses identify, manage, and mitigate risks associated with growth.

Beyond providing insurance coverage, the company offers strategic advisory services that enable clients to make confident decisions and scale their businesses with greater security and peace of mind.

What you will do

• Work with Agentic AI, TypeScript, Snowflake, AWS, LLM-related technologies, data integrations, APIs, and ETL/ELT pipelines.
• Build LLM-powered applications using retrieval-augmented generation, tool usage, context management, prompt engineering, evaluation, and feedback loops.
• Work on a chatbot that learns from user interactions, improves over time, and supports users with domain-specific knowledge.
• Design and implement integrations with multiple internal and external data sources.
• Prepare reliable data pipelines, transformations, and data-access layers that enable LLM applications to use structured and unstructured data effectively.
• Take ownership of ambiguous problems and drive solutions end-to-end.
• Communicate with the team, discuss new ideas, and work closely with non-technical users.
• Work on a dynamic, startup-style project where learning the domain, experimenting, and iterating quickly are important.

Nice To Have

• Experience with event-driven architectures and workflow orchestration tools.
• Experience in regulated domains such as insurance, fintech, or healthcare.
• Familiarity with AWS services and distributed backend infrastructure.

Benefits

• B2B contract
• International projects, often at the cutting edge of technology
• Experienced team — exchange your expertise with other passionate engineers
• A challenging yet thriving work environment — the team pushes itself to be better every day
• Modern tech stacks
• Remote working possibilities
• Flexible hours